Superstructure bridge evaluation system for RCDG bridges

A windows-based qualitative and quantitative superstructure rating system for RCDG bridges is developed. The software developed consists of three major modules: bridge inventory and data module, qualitative and quantitative module and the on-line help module. To demonstrate the developed computer so...

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Main Authors: Garciano, Lessandro Estelito O., Oreta, Andres Winston C.
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Published: Animo Repository 2022
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/6114
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-67582022-05-21T01:26:05Z Superstructure bridge evaluation system for RCDG bridges Garciano, Lessandro Estelito O. Oreta, Andres Winston C. A windows-based qualitative and quantitative superstructure rating system for RCDG bridges is developed. The software developed consists of three major modules: bridge inventory and data module, qualitative and quantitative module and the on-line help module. To demonstrate the developed computer software, an actual inspection and observation of a RC bridge was conducted. The evaluated of Lawa Bridge using the developed software shows that the span is capable of sustaining the loads in that area. The MS18 and M15 maximum truck loads that the span can sustain are equal to 484 kN and 269 kN respectively. The study therefore improves the basis on the present rating system procedure that relies much on inspector's experience, judgment and intuition. This is achieved by using a weighted-average method and an importance factor for different deterioration rates. Some of the important results of the study are the following; a uniform procedure is achieved, increased frequency and efficiency in rating bridges, the cost of evaluating bridges is minimized and an easy access to updated and objective information on any bridge. 2022-06-04T11:03:37Z text https://animorepository.dlsu.edu.ph/faculty_research/6114 Faculty Research Work Animo Repository
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
description A windows-based qualitative and quantitative superstructure rating system for RCDG bridges is developed. The software developed consists of three major modules: bridge inventory and data module, qualitative and quantitative module and the on-line help module. To demonstrate the developed computer software, an actual inspection and observation of a RC bridge was conducted. The evaluated of Lawa Bridge using the developed software shows that the span is capable of sustaining the loads in that area. The MS18 and M15 maximum truck loads that the span can sustain are equal to 484 kN and 269 kN respectively. The study therefore improves the basis on the present rating system procedure that relies much on inspector's experience, judgment and intuition. This is achieved by using a weighted-average method and an importance factor for different deterioration rates. Some of the important results of the study are the following; a uniform procedure is achieved, increased frequency and efficiency in rating bridges, the cost of evaluating bridges is minimized and an easy access to updated and objective information on any bridge.
format text
author Garciano, Lessandro Estelito O.
Oreta, Andres Winston C.
spellingShingle Garciano, Lessandro Estelito O.
Oreta, Andres Winston C.
Superstructure bridge evaluation system for RCDG bridges
author_facet Garciano, Lessandro Estelito O.
Oreta, Andres Winston C.
author_sort Garciano, Lessandro Estelito O.
title Superstructure bridge evaluation system for RCDG bridges
title_short Superstructure bridge evaluation system for RCDG bridges
title_full Superstructure bridge evaluation system for RCDG bridges
title_fullStr Superstructure bridge evaluation system for RCDG bridges
title_full_unstemmed Superstructure bridge evaluation system for RCDG bridges
title_sort superstructure bridge evaluation system for rcdg bridges
publisher Animo Repository
publishDate 2022
url https://animorepository.dlsu.edu.ph/faculty_research/6114
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